Earticle

초록

영어

Robust object tracking is important in many real applications. This study proposes a novel robust object tracking algorithm that combines particle filter and geometric active contour. In contrast to conventional combinations, the proposed algorithm establishes mutualism, wherein the particle filter provides curve initialization for the active contour by using the alpha shape algorithm, and the active contour provides evolved boundary for particle filter classification. The refined particles are used to estimate the states which reduce the distance error. Discriminable object feature is proposed to enhance the tracking robustness, and prior information-based curve evolution is used to improve the accuracy of boundary segmentation. Comparable experiments are performed using a stand particle filter and continuously adaptive mean-shift methods. The proposed algorithm is found to be highly robust for long video sequences with non-linear motion, scale changes and clutter background.

목차

Abstract
 1. Introduction
 2. Preliminary
  2.1. Particle Filter
  2.2. Geometric Active Contour
  2.3. Alpha Shape
 3. Object Tracking
  3.1. Object Histogram
  3.2. Discriminate Color based on C-V
  3.3. Boundary initialization
  3.4. C-V Guide Information
  3.5. Likelihood with Multiple Cues
  3.6. Contour-Based Particle Resampling
 4. Experiment and Discussion
 5. Conclusion
 References

키워드

저자

• Lei Sun [ School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an 710049, Shaanxi, China ]
• Sun-an Wang [ School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an 710049, Shaanxi, China ]
• Jin-hua Zhang [ School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an 710049, Shaanxi, China ] Correspondiong Author
• Xiao-hu Li [ School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an 710049, Shaanxi, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605